Published September 23, 2022
| Version v1
Other
Open
Machine learning based prediction of layer-by-layer coating thickness
Creators
- 1. Faculty of Engineering, University of Kragujevac (FINK), Kragujevac, Serbia
- 2. Steinbeis Advanced Risk Technologies Institute doo Kragujevac (SARTIK), Kragujevac, Serbia
- 3. Bioengineering Research and Development Center (BioIRC), Kragujevac, Serbia
- 4. INSERM UMR 1121, Biomaterials and Bioengineering laboratory, Strasbourg, France
- 5. Université de Strasbourg, Faculté de Chirurgie Dentaire, Strasbourg, France
- 6. Institute of Information Technologies, University of Kragujevac, Kragujevac, Serbia
- 7. Eindhoven University of Technology, Eindhoven, The Netherlands
- 8. SPARTHA Medical, Strasbourg, France
Description
Machine learning based prediction of layer-by-layer coating thickness, presented at the Joint KMM-VIN / ViCEM / ESB cross-disciplinary workshop on Biomedical and bioinspired materials and structures: a cross-disciplinary approach combining the 9th KMM-VIN Industrial Workshop Biennial ViCEM Meeting Austrian Chapter Meeting of ESB, Vienna, Austria, 22-23 September, 2022
Files
KMM_VIN_ML coating Sustersic.pdf
Files
(156.7 kB)
Name | Size | Download all |
---|---|---|
md5:11632d9c7b2e1adeb63767e605bc267e
|
156.7 kB | Preview Download |